Conference Information

ICOSAAS 2027: International Conference on Intelligent and Sustainable AI Systems

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Submission Date:
2027-04-15 Due in 185 days
Notification Date:
2027-05-13
Conference Date:
2027-07-08
Location:
Bali, Indonesia
Years:
Viewed: 3868   Tracked: 0   Attend: 0
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ICOSAAS
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Conference Partner Index (CP-I)

40.5 / 100
Ranked #4,985 of 5,695 conferences · Top 88%

#248 of 298 in Energy & Environment

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
19
Community attention (10%)
10
Public record completeness (15%)
55

Inputs used: Editions on record: 1 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-11

Call For Papers

ICOSAAS 2027 (International Conference on Intelligent and Sustainable AI Systems) is an academic conference held in Bali, Indonesia on 2027-07-08. The paper submission deadline is 2027-04-15. Acceptance notifications are sent on 2027-05-13.

The scope of the conference includes, but is not limited to: Track 1: Intelligent Systems & Architectures Adaptive and self-learning AI architectures Distributed AI and edge intelligence Neuromorphic and bio-inspired computing Scalable AI for big data environments Multi-agent intelligent systems and coordination Knowledge representation and reasoning frameworks Cognitive architectures and decision-making models Track 2: Sustainability and Green AI Energy-efficient machine learning algorithms AI for renewable energy forecasting and optimization Resource-aware computing and model compression Sustainable data center management using AI AI for climate modeling and carbon footprint reduction Life-cycle analysis of AI systems Low-power AI for embedded and IoT applications Track 3: Societal Impact and Human-centric AI Ethical and explainable AI (XAI) AI for social good and equitable development Human-in-the-loop AI systems Bias detection and fairness in algorithms AI for inclusive healthcare and education Emotional intelligence and affective computing AI governance, transparency, and policy frameworks
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